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Last updated:
September 25, 2023
Duration:
Unlimited Duration
FREE
This course includes:
Unlimited Duration
Badge on Completion
Certificate of completion
Unlimited Duration
Description
Discrete Time Signal Processing. Instructor: Prof. Mrityunjoy Chakraborty, Department of Electronics and Electrical Communication Engineering, IIT Kharagpur.
This course covers discrete time signals and systems. The major concepts covered include: discrete-time processing of continuous-time signals; sampling rate conversion; discrete time filter design and filter structures; finite impulse response and infinite impulse response systems; linear prediction; discrete Fourier transform, FFT algorithm; parametric and nonparametric signal processing and its various applications. (from nptel.ac.in)
Course Curriculum
- Lecture 01 – Introduction Unlimited
- Lecture 02 – Discrete Time Signals and Systems Unlimited
- Lecture 03 – Linear, Shift Invariant Systems Unlimited
- Lecture 04 – Properties of Discrete Convolution, Causal and Stable Systems Unlimited
- Lecture 05 – Graphical Evaluation of Discrete Convolutions Unlimited
- Lecture 06 – Discrete Time Fourier Transform (DTFT) Unlimited
- Lecture 07 – Properties of Discrete Time Fourier Transform (DTFT) Unlimited
- Lecture 08 – Dirac Comb and Sampling Analog Signals Unlimited
- Lecture 09 – Relation between DTFT and Analog Fourier Transform Unlimited
- Lecture 10 – Nyquist Interpolation Formula Unlimited
- Lecture 11 – Rational Systems Unlimited
- Lecture 12 – Properties of Rational Systems Unlimited
- Lecture 13 – Introduction to z-Transform Unlimited
- Lecture 14 – Regions of Convergence of z-Transform Unlimited
- Lecture 15 – Properties of z-Transform Unlimited
- Lecture 16 – Inverse z-Transform Unlimited
- Lecture 17 – Introduction to Discrete Fourier Transform (DFT) Unlimited
- Lecture 18 – Properties of Discrete Fourier Transform (DFT) Unlimited
- Lecture 19 – Introduction to Circular Convolution Unlimited
- Lecture 20 – Graphical Interpretation of Circular Convolution Unlimited
- Lecture 21 – Zero Padding and Linear Convolution via Discrete Fourier Transform (DFT) Unlimited
- Lecture 22 – Decimation and DFT of Decimated Sequences Unlimited
- Lecture 23 – Expansion and Interpolation of Sequences Unlimited
- Lecture 24 – Factor-of-M Polyphase Decomposition of Sequences Unlimited
- Lecture 25 – Noble Identifies Unlimited
- Lecture 26 – Efficient Decimator and Interpolator Structure Unlimited
- Lecture 27 – Linear Phase Filters Unlimited
- Lecture 28 – Properties of Linear Phase Filters Unlimited
- Lecture 29 – Structures for IIR Filters Unlimited
- Lecture 30 – Structures for FIR Filters Unlimited
- Lecture 31 – Analog LTI Systems, Fourier and Laplace Transforms Unlimited
- Lecture 32 – Pole, Zero, and Stability of Analog Filters Unlimited
- Lecture 33 – Analog Filter Design Example – Butterworth Low Pass Filter Unlimited
- Lecture 34 – IIR Filter Design by Impulse Invariance Method Unlimited
- Lecture 35 – Digital Filter Design from Analog Prototype Filters by s-z Transformations Unlimited
- Lecture 36 – Bilinear Transformation Unlimited
- Lecture 37 – FIR Filter Design by Windows Unlimited
- Lecture 38 – Fast Fourier Transform (FFT): Decimation in Time Unlimited
- Lecture 39 – Complexity Analysis of FFT Unlimited
- Lecture 40 – Bit Reversal and FFT Unlimited
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